CAS Key Laboratory of Forest Ecology and Management, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang Liaoning, 110016, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
Sci Rep. 2018 Apr 4;8(1):5619. doi: 10.1038/s41598-018-24040-8.
In the permafrost region of northeastern China, vegetation and soil environment have showed response to permafrost degradation triggered by global warming, but the corresponding variation of the soil microbial communities remains poorly investigated. Here, a field investigation in the continuous permafrost region was conducted to collect 63 soil samples from 21 sites along a latitudinal gradient to assess the distribution pattern of microbial communities and their correlation with environmental factors. High-throughput Illumina sequencing revealed that bacterial communities were dominated by Proteobacteria, Acidobacteria, Bacteroidetes and Actinobacteria. Both microbial richness and phylogenetic diversity decreased initially and then increased as the latitude increased. UniFrac analysis of microbial communities detected significant differences among latitudes. Variation partitioning analysis and structural equation models revealed that environmental variables, including geographic factors, plant-community factors and soil physicochemical factors, all played non-negligible roles in affecting the microbial community structures directly or indirectly. Redundancy analysis and boosted regression tree analysis further highlighted the influences of soil pH and plant richness on microbial community compositions and diversity patterns. Taken together, these results suggest that the distribution pattern of soil microbial communities shows distinct changes along the latitudinal gradients in northeastern China and is predominantly mediated by soil pH and plant diversity.
在中国东北地区的永久冻土区,植被和土壤环境对全球变暖引发的永久冻土退化已经产生了响应,但土壤微生物群落的相应变化仍未得到充分研究。在这里,我们对连续多年冻土区进行了实地调查,从 21 个地点沿纬度梯度收集了 63 个土壤样本,以评估微生物群落的分布模式及其与环境因素的相关性。高通量 Illumina 测序结果表明,细菌群落主要由变形菌门、酸杆菌门、拟杆菌门和放线菌门组成。微生物丰富度和系统发育多样性起初下降,然后随着纬度的增加而增加。微生物群落的 UniFrac 分析检测到了纬度之间的显著差异。方差分解分析和结构方程模型揭示了环境变量,包括地理因素、植物群落因素和土壤理化因素,都直接或间接对微生物群落结构产生了不可忽视的影响。冗余分析和提升回归树分析进一步强调了土壤 pH 和植物丰富度对微生物群落组成和多样性模式的影响。总之,这些结果表明,土壤微生物群落的分布模式在中国东北地区的纬度梯度上表现出明显的变化,主要受土壤 pH 和植物多样性的调节。